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Graphic depiction of a bivariate distribution.
Replacing missing values in data analysis by estimating values from the available data.
Consists of editing, coding, data entry, and data cleaning.
The value or category in a distribution with the highest frequency.
Shows whether the association in a contingency table is statistically significant.
A cleaning technique that can be programmed for automatic detection in computer-assisted interviewing.
Examples are Cramer’s phi and the correlation coefficient.
A graphic display of a univariate distribution.
Documentation for a data file that usually contains the question wording and responses codes for each variable.
The numerical difference between an observed value and the value predicted by the regression line.
The most commonly used statistical measure of variation.
Indicates how much the dependent variable changes for every one-unit increase in the independent variable.